Speed Hadoop time to value, no matter your role

Deliver data faster, driving business success

As the owner for big data initiatives in your organization you are constantly working to ensure your team has the tools needed to ensure not only implementation success but also analytical value to drive strategic direction and opportunities for competitive advantage. Delivering on schedule and on budget determines the project’s success.

Control-M for Hadoop can help you:

Justify continued investment, reducing the dependence on costly storage

Right-size the skilled staff required to deliver big data

Standardize processes while allowing your team to work with the tools most suited to them

Automate delivery of your enterprise-grade data lake

Setting the technical direction and design for your Hadoop initiative is easier said than done. New solutions hit the open source market daily and sorting through what will provide the greatest chance of success in the shortest amount of time can be daunting. Keep your project moving forward with the visibility, accessibility, and security your big data project requires.

Control-M for Hadoop can help you:

Deliver your Hadoop project faster and with more accuracy, seamlessly connecting to any application and any database across the enterprise

Automate batch workflow development ensuring fewer complications and the need for revisions by developers

Enhance the stability and security of your enterprise-grade Hadoop environment

Transform your Hadoop development

Overseeing the day-to-day development of Hadoop comes with its own challenges. From the infrastructure to the domain expertise, it’s up to you to ensure the end result answers everyone’s questions. The speed and quality of the Hadoop code your team delivers is just one key component for success.

Learn how Control-M for Hadoop can:

Automate batch workflow development with the interface your developers choose – command line or graphical user – while increasing their productivity

Convert existing workflows to Control-M – scripted, Oozie, or another enterprise scheduler – to maintain continuity and reduce lost cycles

Ease the handoff of code to Operations, driving a continuous delivery model

“Our project delivers a Big Data cloud service for our customer banks. We have 6,000 Hadoop jobs moving over 150GB of data daily for our first two cloud service customers, and we plan to extend service to the rest of Grupo Santander banks...BMC has delivered again with Control-M for Hadoop.”
— Nuno Miguel Portela, IT Senior Manager, Produbon